Comparison
core vs agent-kernel
Verdict
Pick core if core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · core alternatives · agent-kernel alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | core | agent-kernel |
|---|---|---|
| Maintenance | Active (16d since push) As of 1w · github_public_v1 | Very active (2d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- core
- AI agent microservice
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- core
- 3.1k
- agent-kernel
- 113
Forks
- core
- 409
- agent-kernel
- 60
Open issues
- core
- 8
- agent-kernel
- 128
Language
- core
- Python
- agent-kernel
- Python
Adopt for
- core
- core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- core
- -
- agent-kernel
- -
Runtime
- core
- -
- agent-kernel
- -
License
- core
- GPL-3.0 licenses the code base of the core repository.
- agent-kernel
- Apache-2.0
Last pushed
- core
- Jul 29, 2026
- agent-kernel
- Aug 7, 2026
Categories
- core
- AI Agents, Vector Databases
- agent-kernel
- AI Agents
Trust and health
Maintenance
- core
- Active (82%)
- agent-kernel
- Very active (96%)
Days since push
- core
- 16d
- agent-kernel
- 2d
Open issues (now)
- core
- 8
- agent-kernel
- 128
Stars delta
- core
- +7 (30d)
- agent-kernel
- Unknown
Open issues delta
- core
- +1 (30d)
- agent-kernel
- Unknown
Full report
- core
- Trust report
- agent-kernel
- Trust report
Choose core if…
- License: core is GPL-3.0, agent-kernel is Apache-2.0.
- core can be self-hosted.
- Requirements: Requires Python support due to being Python-based..
- Tags unique to core: ag-ui-protocol, agent, ai, assistant.
- Also covers Vector Databases.
- For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement
When NOT to use core
- If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios
- In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, core is GPL-3.0.
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cheshire-cat-ai/core) · observed Aug 15, 2026
- GitHub forks (cheshire-cat-ai/core) · observed Aug 15, 2026
- Last push (cheshire-cat-ai/core) · observed Jul 29, 2026
- License file (GPL-3.0) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Aug 9, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Aug 9, 2026
- Last push (yaalalabs/agent-kernel) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: core 3.1k · agent-kernel 113 (synced Aug 15, 2026).
Common questions
- What is the difference between core and agent-kernel?
- core: AI agent microservice. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose core over agent-kernel?
- Choose core over agent-kernel when License: core is GPL-3.0, agent-kernel is Apache-2.0; core can be self-hosted; Requirements: Requires Python support due to being Python-based.; Tags unique to core: ag-ui-protocol, agent, ai, assistant; Also covers Vector Databases; For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement.
- When should I choose agent-kernel over core?
- Choose agent-kernel over core when License: agent-kernel is Apache-2.0, core is GPL-3.0; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- When should I avoid core?
- If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language
- When should I avoid agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is core or agent-kernel more popular on GitHub?
- core has more GitHub stars (3,081 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are core and agent-kernel open source?
- Yes - both are open-source projects on GitHub (core: GPL-3.0, agent-kernel: Apache-2.0).
- Where can I find alternatives to core or agent-kernel?
- GraphCanon lists graph-backed alternatives at core alternatives and agent-kernel alternatives (core markdown twin, agent-kernel markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, core or agent-kernel?
- core: Active. agent-kernel: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for core and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: core trust report; agent-kernel trust report.